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AI3SD Project: Optimising Flatland: Inverse design of desalination membranes

AI3SD Project: Optimising Flatland: Inverse design of desalination membranes
AI3SD Project: Optimising Flatland: Inverse design of desalination membranes
The aim of this project is to establish an integrated discovery pipeline for developing new materials for water desalination. This will be achieved by creating a large dataset of ultrathin membrane materials and then applying artificial intelligence (AI) design paradigms to predict the ideal materials for this application. The best candidate materials will then undergo experimental evaluation.
AI3SD, Funded Project, Optimising Flatland, water desalination
5
University of Southampton
Hill, Grant J
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Hill, Adam N.
72bdf966-64a1-4a43-96f5-ca3840bc11da
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Hill, Grant J
33a077e3-1f37-422c-8753-9439a0f0b336
Hill, Adam N.
72bdf966-64a1-4a43-96f5-ca3840bc11da
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84

Hill, Grant J and Hill, Adam N. , Kanza, Samantha, Frey, Jeremy G. and Hooper, Victoria (eds.) (2021) AI3SD Project: Optimising Flatland: Inverse design of desalination membranes (AI3SD-Project-Series, 5) University of Southampton (doi:10.5258/SOTON/P0040).

Record type: Monograph (Project Report)

Abstract

The aim of this project is to establish an integrated discovery pipeline for developing new materials for water desalination. This will be achieved by creating a large dataset of ultrathin membrane materials and then applying artificial intelligence (AI) design paradigms to predict the ideal materials for this application. The best candidate materials will then undergo experimental evaluation.

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More information

Published date: 3 August 2021
Keywords: AI3SD, Funded Project, Optimising Flatland, water desalination

Identifiers

Local EPrints ID: 450569
URI: http://eprints.soton.ac.uk/id/eprint/450569
DOI: doi:10.5258/SOTON/P0040
PURE UUID: 61f3bdcc-5d6b-4daa-9947-253a0cbb5500
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302

Catalogue record

Date deposited: 04 Aug 2021 16:33
Last modified: 17 Mar 2024 03:51

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Contributors

Author: Grant J Hill
Author: Adam N. Hill
Editor: Samantha Kanza ORCID iD
Editor: Jeremy G. Frey ORCID iD
Editor: Victoria Hooper

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